Statistical Modeling & Regression · Mixed & Multilevel Models (GLMM)

Frequentist mixed models: Theory and implementation

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Rigorous Treatise · Expert Level

Overview

Topics covered

  • Introduction
  • Frequentist Mixed Models: Theory, Computation and Interpretation
  • Introduction and Theoretical Foundations
  • Laird-Ware General Formulation for the Linear Mixed Model (LMM)
  • Extension: Generalized Linear Mixed Models (GLMM)
  • Advanced Computational Estimation

Related concepts

Main connections

  • Variance & standard deviation
  • Mixed & multilevel models (GLMM)
  • Maximum likelihood estimation
  • Linear algebra & matrices
  • Binomial distribution
  • Calculus & differentiation

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

𝐲=𝐗𝛃+𝐙𝛄+ϵ
View LaTeX source\mathbf{y} = \mathbf{X}\boldsymbol{\beta} + \mathbf{Z}\boldsymbol{\gamma} + \boldsymbol{\epsilon}